Merge Gateway vs. OpenRouter

OpenRouter is for building.
Merge is for shipping.

When AI becomes customer-facing, you need per-customer controls, observability, and governance built into your infrastructure.

Trusted by teams building the next generation of AI products
Logo OpenAILogo Mistral AILogo DropboxLogo RampLogo PerplexityLogo Workday

The core difference

OpenRouter

Built for model access

OpenRouter helps developers quickly access and switch between hundreds of models through one API.


Best for:

  • Rapid experimentation
  • Small teams moving quickly
  • Broad model access
  • Flexible routing and failover

As AI usage scales, teams often need deeper controls around reliability, spend, and governance.

Built for production

Merge Gateway adds a centralized control layer between your application and model providers.

Best for:

  • Customer-level cost controls and pricing
  • Governance, security, and observability
  • Reliable multi-provider routing
  • Operating AI without custom infrastructure

As AI becomes customer-facing, teams need more visibility, control, and operational reliability across every request.

What OpenRouter does well

OpenRouter is fast, flexible, and built for rapid experimentation. Access hundreds of models through one API, compare providers quickly, and get to production faster without managing dozens of integrations.

Designed for different stages

Gateway is built for AI products in production. Here's where it extends beyond OpenRouter.
Capability
OpenRouter
Custom routing policies
Route by customer, feature, region, use case, or capability
Optimized for provider and model selection, no customer-context routing
Cost attribution
Track spend by customer, project, team, or feature
Limited to org, workspace, and project tracking, not SaaS economics
Data protection
Built-in DLP and prompt injection protection
Basic privacy controls and provider- safeguards. No enterprise DLP.
Request-level visibility
Inspect model, cost, latency, and routing per request
Basic request logging exists, but still in early development
Production observability
Visibility into performance, failures, and cost drivers
Observability focused on engineering workflows
Governance controls
Enforce residency, security, and model policies centrally and by customer
Org-level controls with limited customer-level governance

Why teams choose Merge Gateway

Route AI around your business

Route requests by customer, feature, region, compliance requirements, or performance goals without maintaining infrastructure

Understand AI costs and protect margins

See which customer, team, or feature is driving spend. Set per-customer budgets and audit costs without custom tooling.

Apply security and governance centrally

Scan every prompt sensitive information and injections. Block or redact before data reaches any provider. Every decision is logged.

Track performance across every request

See every request by customer, model, cost, latency, and routing path. Filters let you see spend, performance, and routing behavior.

Enforce policies without slowing teams down

Apply data residency, DLP, and model controls at the infrastructure layer. Compliance is enforced before requests hit any model.

Reduce AI spend automatically

Control spend with budgets, attribution, and routing policies that optimize costs without engineering effort

When to move from OpenRouter to Merge

OpenRouter works well early on. Teams move to Gateway when AI starts shipping to customers, touching revenue, or drawing compliance scrutiny.
When..
OpenRouter can...
Teams choose Merge to...
Costs become material
Cap spend per API key
Break down costs per customer, team, or feature and enforce real-time budgets
Customers have different model requirements
Apply model restrictions at the org level
Enforce separate model and region policies per customer
More teams get involved
Manage keys and access at the org level
Give finance, security, and ops visibility and spend controls per project, without code changes
AI becomes customer-facing
Track usage at the API key level
Attribute every request to the customer that generated it and enable usage-based pricing
Governance requirements increase
Enable DLP and zero data retention (ZDR) at enterprise tier
Enforce DLP, ZDR, prompt injection scanning, and per-customer policy controls across all tiers
Operations become harder to manage
Send traces to observability platforms better suited for debugging and evals
Natively log and view every request with full attribution by customer, model, and provider

Real customer example

Read why Windmill chose Merge

Read case study
$10,000/month saved
in LLM costs without touching application code

"Merge Gateway offers better LLM routing, cost control, and observability functionality than OpenRouter. We only gained net-new capabilities by switching."

Ben Danzig
Software Engineer, Windmill

See Gateway in action

Discover how teams control costs, govern AI safely, and scale production AI features reliably.

Limited-time promo: Zero fees for 12 months when you sign up by June 30. Offer terms here.